EVALUATING COMMERCIAL VS. OPEN SOURCE DATA PROCESSING METHODS IN GC-ORBITRAP-HRMS UNTARGETED METABOLOMICS FOR FOOD AUTHENTICATION: THYME AS A CASE STUDY
Published: 13 May 2024| Version 2 | DOI: 10.17632/969xws24rm.2
Contributors:
, Description
Supplementary Information of the article entitled "Comparison of data processing strategies using commercial vs. open source software in GC-Orbitrap-HRMS untargeted metabolomics analysis for food authentication. Thyme geographical differentiation and marker identification as a case study"
Files
Steps to reproduce
Please cite Rivera-Pérez et al. for the use of this data.
Institutions
Universidad de Almeria
Categories
Gas Chromatography, Metabolomics, Orbitrap Mass Spectrometry, Food Authentication, Data Processing
Funding
PPIT UAL, Junta de Andalucía-FEDER 2021-2027. Programa: 54.A
CPUENTE2023/21
Sabater Spices
Sample provider